Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
In natural language generation, different generation tasks often interact with each other in a complex way, which is hard to capture in the pipeline architecture described by Reit...
The ability to determine a sequence of actions in order to reach a particular goal is of utmost importance to mobile robots. One major problem with symbolic planning approaches re...
: Curriculum planning for students in a university which offers full-time as well as part-time courses is not a trivial task and is complicated by the fact that students can enrol ...
We study the novel problem of efficiently computing the update distance for a pair of relational databases. In analogy to the edit distance of strings, we define the update distan...